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course | Big Data Analytics for Managers & Business Leaders

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DIGTR-497 | Big Data Analytics for Managers & Business Leaders

Course Sector : Digital Transformation and Innovation

Duration
Date from
Date to Course Venue Course fees Book a course
4 Days2025-04-142025-04-17Dubai$4,250 Book now
4 Days2025-07-062025-07-09Online$2,150 Book now
4 Days2025-09-012025-09-04Dubai$4,250 Book now
4 Days2025-11-032025-11-06Barcelona$4,950 Book now

Course Introduction

This training course is designed to provide participants with the essential concepts of Big Data and how they can utilize it to advanced decision-making and business benefits. 

As managers or specialists are expected to decipher insights from an organization-wide IT system and be able to provide precise analysis and recommendations for senior managers/executives. This course will highlight topics such as cutting-edge techniques to recognize Big Data trends, and toolset for data analysis to help them make better decisions and recommendations.


Course objective

  • Gain an in-depth understanding of the data lifecycle from source to destination
  • Discuss the nature of Big Data and technologies in place for storing Big Data
  • Enhance understanding on big data to formulate business strategy
  • Explore projects on Big Data analysis for decision-making
  • Recognize patterns in data and choose the best tools for analysis

Course Outline | Day 01

  • What is data and how does it come into existence?
  • Data lifecycle – From cradle to grave
  • From data generation, data processing and data analysis to data-driven insights
  • Translating data insights into business insights
  • Classification of data
  • Structured vs. semi-structured vs. unstructured data
  • Continuous vs. categorical data
  • Nominal vs. ordinal data
  • Demystifying data terminology
  • Big Data -- Data Analytics -- Data Science -- Data Intelligence -- Data Insights

Course Outline | Day 02

  • Big Data project overview
  • Different stakeholders in a typical Big Data project
  • Role of each stakeholder in the data landscape – Data Analysts vs. Data Scientists vs. Big Data Engineers
  • Overview of Big Data and its proliferation over the last decade
  • Big Data landscape overview
  • Different tools and technologies that have come into existence for addressing Big Data
  • Four dimensions of Big Data – Volume, Velocity, Variety, Veracity
  • Functional nuances of the four V’s of Big Data
  • Apache Software Foundation – The cornerstone of the modern open source software ecosystem
  • Apache Foundation tools and technologies for Big Data

Course Outline | Day 03

  • Introduction to the Hadoop ecosystem
  • Overview of Hadoop, MapReduce, YARN and Spark and some of the other key components of the Big Data world · Different computing frameworks in the Big Data computing world
  • Cluster computing vs. parallel computing vs. distributed computing
  • Utility of each of the frameworks and application scenarios
  • Building an analytics layer for Big Data problem statements

Course Outline | Day 04

  • Data analytics for Big Data
  • Analytics to explore and prepare data models
  • Identify the type of analytics problem to apply the appropriate set of techniques
  • Scenarios and Use Cases – Big Data with analytics and data science
  • Delivering business benefit from Big Data
  • Establishing the business importance of Big Data
  • Data governance and cybersecurity

Application of Big data for analytical decision-making

  • Data flow management and data pipelines
  • How to design data pipelines for effective data flow
  • Master data management
  • Governance, policies, processes, standards and tools
  • Big Data modelling and management systems
  • Why a Big Data infrastructure plan is needed
  • Different types of databases – Relational Database Management System (RDBMS), data warehouse, data lakes, SQL vs. No-SQL
  • Real-time streaming data vs. batch data - Cloud computing vs. on-premise computing
  • Differences between a traditional database management system and a Big Data management system
Course Certificates
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BOOST’s Professional Attendance Certificate “BPAC”

BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.

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